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A geolocation-aware mobile crowdsourcing solution for the emergency supply of oxygen cylinders
Author(s) -
Faouzi Kamoun,
May El Barachi,
Abderrazak Hachani,
Fatna Belqasmi,
Amir Ben Said,
Imed Amri
Publication year - 2020
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2020.03.020
Subject(s) - crowdsourcing , geolocation , computer science , key (lock) , mobile device , process (computing) , computer security , world wide web , operating system
Emergency medical oxygen cylinders are commonly used as first aid kits to prevent strokes during chronic obstructive pulmonary disease (COPD) / asthma attacks. In this paper, we propose a geolocation-aware mobile crowdsourcing solution for the emergency supply of oxygen cylinders to patients suffering from sudden breathing difficulties. The proposed crowdsourcing solution leverages the proliferation of mobile devices to connect requestors of emergency oxygen cylinders with potential suppliers from the crowd during crises. We describe the design process of the system, its technical implementation details, and key features. We also discuss some of the encountered challenges and summarize the actions taken to address them.

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